Use ChartGraphics software with ready-to-use U.S. national scope U.S., state and county data to create
your own population pyramids. The following view shows the ChartGraphics user interface when used
to display the data for Santa Clara County, CA. An optional setting enables the user to publish the population pyramid and
associated age-gender population by age table as shown in the above graphics. The resulting published data is in HTML structure
and ready to integrate into your documents. As shown in this view, you can easily select the year, race group and geographic area of interest.
This section provides information on operation and use of ChartGraphics.

Control Panel (left)
- ChartType: only Pyramids operates in standalone version
- Year: select 2000 or 2010 for the default database
Year is available annually for 2000 through 2060 when using the S&O Outlook 2060 database
- MaxPop: maximum population setting for any one gender population bar
MaxPop value enables use of a fixed setting for comparison over time or between areas
If zero, the X-axis maximums are determined by the maximum of the set of age cohort populations
- Universe: Race/Origin Population Universe (see list)
- Find Geocode: key in state+county FIPS to locate; press enter; geography shows in listbox
- Geography Listbox: list of available geographies included (U.S., states, counties)
- dbl-click geography in listbox at left to show pyramid

Gaining Insights
The population pyramid helps us understand the age and gender structure of a population in a specific area, like a county or state.
The shape of the pyramid can show the potential for future growth and provide hints about past trends.
A top-heavy pyramid suggests negative population growth that might be due to many factors, including high death rates,
low birthrates and increased emigration.
A bottom-heavy pyramid suggests high birthrates, falling or stable death rates and potential for rapid population growth.

The population pyramid shows a male population bar chart (left side of pyramid, blue)
symmetrically with a female population bar chart (right side of pyramid, light red).
Each bar shows the population by 5-year age group, 0-4 years to 80-84 years and 85 years and over.

Operations ... gotop
To generate a pyramid view for an area, dbl-click the area code/name in the listbox in the left panel
A new pyramid view is also shown when a change is made to the Year selection or the Race Group selection.

Output and Analysis ... gotop
With these main menu Setting items checked on, the pyramid graphic is created and associated age-gender HTML table created and displayed.
- Export2HTM
- ExportShowHTM

Charts Datasets ... gotop
The Charts Dataset is the dbase file used by the application.
The default Charts Dataset is opened when the application starts.
The main menu File>Open may be used to open an alternative Charts Dataset.
A Charts Dataset must conform to a specific structure.

Default Charts Database Structure (U.S., states, counties)

FieldName

FieldType

Description

YEAR

C4

Data reference year

GROUP

C3

Race Group Code

SUMLEV

C3

Summary Level

ST

C2

State FIPS Code

CTY

C3

County FIPS Code

NAME

C75

Area Name

MALE

N9.0

Males, total

M00_04

N9.0

Males, ages 0-4

M05_09

N9.0

Males, ages 5-9

M10_14

N9.0

Males, ages 10-14

M15_19

N9.0

Males, ages 15-19

M20_24

N9.0

Males, ages 20-24

M25_29

N9.0

Males, ages 25-29

M30_34

N9.0

Males, ages 30-34

M35_39

N9.0

Males, ages 35-39

M40_44

N9.0

Males, ages 40-44

M45_49

N9.0

Males, ages 45-49

M50_54

N9.0

Males, ages 50-54

M55_59

N9.0

Males, ages 55-59

M60_64

N9.0

Males, ages 60-64

M65_69

N9.0

Males, ages 65-69

M70_74

N9.0

Males, ages 70-74

M75_79

N9.0

Males, ages 75-79

M80_84

N9.0

Males, ages 80-84

M85_89

N9.0

Males, ages 85-90

M90_UP

N9.0

Males, ages 90 and over

MUNDER18

N9.0

Males, under 18

FEMALE

N9.0

Females, total

F00_04

N9.0

Females, ages 0-4

F05_09

N9.0

Females, ages 5-9

F10_14

N9.0

Females, ages 10-14

F15_19

N9.0

Females, ages 15-19

F20_24

N9.0

Females, ages 20-24

F25_29

N9.0

Females, ages 25-29

F30_34

N9.0

Females, ages 30-34

F35_39

N9.0

Females, ages 35-39

F40_44

N9.0

Females, ages 40-44

F45_49

N9.0

Females, ages 45-49

F50_54

N9.0

Females, ages 50-54

F55_59

N9.0

Females, ages 55-59

F60_64

N9.0

Females, ages 60-64

F65_69

N9.0

Females, ages 65-69

F70_74

N9.0

Females, ages 70-74

F75_79

N9.0

Females, ages 75-79

F80_84

N9.0

Females, ages 80-84

F85_89

N9.0

Females, ages 85-89

F90_UP

N9.0

Females, ages 90 and over

FUNDER18

N9.0

Females, under 18

Records appear in the default Charts Database only if the count for that universe is 100 population or more.
The default Charts Database is based on the Census 2000 Summary File 2 QTP1 table and Census 2010 Summary File 2 QTP1 table.

The standard installer places all software and required files in the folder c:\chartgraphics.
ChartGraphics data may be located on a shared access server; this is an optional separate step and not recommended.
The basic U.S. by state and county ChartGraphics dataset is 19MB. Total required disk space is 30MB (including all data and software).
The software itself must be installed on a desktop/laptop.

After installation, Internet access is required only for accessing online documentation (this section and examples). Follow the prompts and take all defaults.

Additional Information
ProximityOne develops geographic-demographic-economic data and analytical tools and helps organizations knit together and use diverse data in a decision-making and analytical framework. We develop custom demographic/economic estimates and projections, develop geographic and geocoded address files, and assist with impact and geospatial analyses.
Wide-ranging organizations use our tools (software, data, methodologies) to analyze their own data integrated with other data.
Follow ProximityOne on Twitter at www.twitter.com/proximityone.
Contact us (888-364-7656) with questions about data covered in this section or to discuss
custom estimates, projections or analyses for your areas of interest.